Senior Machine Learning Engineer
Core
Building production ML systems for an autonomous AI interviewer, fraud detection, and technical skill evaluation in the hiring stack.
Role type
Senior Machine Learning Engineer (Agentic AI & Evaluation)
Builds
Autonomous AI interviewer, fraud detection systems, technical skill evaluation pipelines
Domain
EdTech / AI / Hiring Technology
Deliverable
production ML models
Required skills
Python, data pipelines, model deployment, systems thinking, evaluation methodology, production ML lifecycle management
Preferred skills
multimodal systems, LLM fine-tuning, adversarial ML, fraud detection, anomaly detection
Technologies
Python
Responsibilities
Design and ship production ML systems across Chakra, integrity, and evaluation domains; Own the full ML lifecycle from problem framing to iteration; Build evaluation infrastructure and benchmarking pipelines; Define architecture and production bars for signal categories; Mentor junior ML engineers; Establish ML best practices for monitoring and feedback loops
Seniority
Senior, hands-on IC
